Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Abstract: This paper presents a digital edge neuromorphic spiking neural network (SNN) processor chip for a variety of edge intelligent cognitive applications. This processor allows high-speed, ...
Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...
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